Layer decomposition-based Method and device for encoding and decoding video

Abstract

The invention discloses a layer decomposition-based method and a layer decomposition-based device for encoding and decoding video. The method for encoding each frame of image input in the video comprises the following steps: decomposing the image into a static layer and a mobile layer, assigning the mobile layer image into a mobile layer image group, and assigning the static layer image into a static layer image group; encoding the static layer image and the mobile layer image of the current frame respectively to form an output code stream which comprises the static layer or the mobile layer or an encoding result of the static layer or the mobile layer; and generating a static layer reconstruction image and a mobile layer reconstruction image. The method and the device are applied to video monitoring and video conference, and can improve the prediction precision, thereby improving the compression efficiency and the encoding quality.

Description

technical field [0001] The invention belongs to the technical field of digital video compression encoding, and in particular relates to an efficient video encoding and decoding method and device for monitoring video. Background technique [0002] The digital video surveillance system has been widely used, and the system scale and quantity are still expanding rapidly. The transmission and recording of video data is the main content of the video surveillance system. Due to the huge amount of digital video data, video compression coding is the key technology of video surveillance. The performance of video compression coding directly affects the performance of video coding monitoring system, including transmission quality and recording time. Higher compression efficiency means that more channels of video signals can be transmitted with lower bandwidth, and longer video recordings can be saved with fewer hard disks. However, the current video coding technologies used for video s...

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Problems solved by technology

3) The noise of the video signal is usually large, especially when the light is insufficient, the surveillance video will introduce a lot of noise, which greatly affects the coding efficiency, so that there is still a large amount of data in the static area where the image content does not change, resulting in coded codes. increase in flow

Although the object-oriented video coding technology of MPEG4 can also realize video coding for moving target objects and static area objects, but different objects cannot refer to each other, so the compression efficiency is low, and the requirements for object segmentation are high, and the practicability is relatively high. Difference

The slice group method of H.264 also realizes the separate encoding of the background image and the foreground image. This encoding method is only for better error concealment. The encoding between the background image and the foreground image cannot refer to each other, so its compression Efficiency is also limited

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